Scientist I, Data Management

Foundation Medicine - Boston, MA

Full-time

Boston, MA

Professional, Scientific, and Technical Services

About the position

The Data Management Scientist I in Computational Biology is responsible for overseeing data management activities and ensuring high-quality support for biomarker development and oncology companion diagnostic programs. This role involves integrating data from various sources, maintaining data quality, and collaborating with cross-functional teams to facilitate research and development studies.

Responsibilities

• Provide data management support for research and development studies.
• Perform queries on databases using SQL or other tools.
• Review protocols for cross-project consistency to mitigate potential data management issues.
• Integrate data from multiple sources, including merging and reformatting datasets and deriving new variables.
• Identify data errors or inconsistencies and work with personnel to resolve them.
• Perform data integration and transformation, delivering data tables based on specifications.
• Manage current and historical data/results to build a knowledgebase ensuring completeness and searchability.
• Store all datasets, programs, and documentation in appropriate locations for easy reference.
• Maintain oversight on data quality metrics and data management deliverables.
• Perform ad-hoc data management and analysis tasks.
• Collaborate with laboratory scientists, biostatisticians, technologists, and regulatory affairs teams on study design, planning, data preparation, programming, analysis, and presentation of results.

Requirements

• Master's degree in bioinformatics, computer science, biostatistics, information systems, or a related field.
• Proficiency in one or several computing software for data programming.

Nice-to-haves

• Fluency in programming languages such as Python or R.
• 2+ years of relevant working experience in a programming role, preferably supporting clinical trial studies or biomarker studies in the biopharmaceutical/diagnostics/CRO industry.
• Knowledge and experience with Next-Generation Sequencing (NGS).
• Excellent communication, presentation, and writing skills, with the ability to explain complex technical details clearly.
• Scientific understanding of cancer genetics and genomics.
• Technical proficiency and creativity.
• Demonstrated history of independent thinking and meeting project deadlines.
• Strong interpersonal skills, including written and oral communication, collaboration, and problem-solving.